Yongchao Xu
Computer Vision and Pattern Recognition · 2017–2020
A researcher in the Science corpus: 5 papers; trusts 523 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 183 citations into it; #17,085 of 21,575 by trust here, #9,722 by citations
- Artificial Intelligence — 70 citations into it
- Media Technology — 37 citations into it
- Model Architectures — 18 citations into it
- Natural Language Processing — 17 citations into it
- Efficiency & Compression — 13 citations into it
- Optimization & Training — 7 citations into it
Whom Yongchao Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Joseph Redmon
- Piotr Doll'ar
- Karen Simonyan
- Shaoqing Ren
- Yann LeCun
- Yoshua Bengio
Who trusts Yongchao Xu overall
- Xue Yang
- Junchi Yan
- Wentong Li
- Jiaming Han
- Yiming Sun
- Xingxing Xie
- Jian Ding
- Yuxuan Li
- Gong Cheng
- Xian Sun
Papers from Yongchao Xu's perspective
Ordered by how strongly the researchers Yongchao Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection (2019) — 916 citations
- Intra-class Feature Variation Distillation for Semantic Segmentation (2020) — 204 citations
- Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge (2019) — 315 citations
- All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting (2019) — 147 citations
- Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification (2017) — 79 citations